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Computer Science Statistics Jobs in Minnesota (NOW HIRING)

Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Applied Mathematics, or a related quantitative field. Preferred Qualifications: * Generative AI & Enterprise LLMs: Hands ...

AP Statistics Tutor

Edina, MN ยท Remote

$18 - $40/hr

Guides students through interpreting computer output, checking inference conditions, analyzing two ... and connects statistics to social science research, public policy, and medical studies.

AP Statistics Tutor

Minneapolis, MN ยท Remote

$18 - $40/hr

Guides students through interpreting computer output, checking inference conditions, analyzing two ... and connects statistics to social science research, public policy, and medical studies.

AP Statistics Tutor

Saint Paul, MN ยท Remote

$18 - $40/hr

Guides students through interpreting computer output, checking inference conditions, analyzing two ... and connects statistics to social science research, public policy, and medical studies.

... computer science, health science, or other analytical/quantitative field and a minimum of three years of professional or research experience in data science and statistical/machine learning packages.

Senior Data Analyst

Minneapolis, MN ยท On-site

$70K - $130K/yr

D.) in a quantitative field (e.g., Computer Science, Statistics, Economics, Engineering, Mathematics, etc.) or experience in financial services. * Experience building and using AI/ML models ...

Senior Data Analyst

Minneapolis, MN ยท On-site

$70K - $130K/yr

D.) in a quantitative field (e.g., Computer Science, Statistics, Economics, Engineering, Mathematics, etc.) or experience in financial services. * Experience building and using AI/ML models ...

Senior Data Analyst

Minneapolis, MN ยท On-site

$70K - $130K/yr

D.) in a quantitative field (e.g., Computer Science, Statistics, Economics, Engineering, Mathematics, etc.) or experience in financial services. * Experience building and using AI/ML models ...

Senior Data Science Analyst

Rochester, MN ยท On-site

$87K - $110K/yr

Candidate has advanced expertise in AI, machine learning, deep learning, statistical data ... Qualifications A Bachelor's degree in a relevant field such as engineering, mathematics, computer ...

New

... computer science, health science, or other analytical/quantitative field and a minimum of three years of professional or research experience in data science and statistical/machine learning packages.

ASIC Gen-AI Data Scientist

Minneapolis, MN ยท On-site +1

$119K - $286K/yr

Bachelor'swith 4+ years orMaster's degree with 2+ inElectricalEngineering, Computer Science, Data Science, Statistics, Artificial Intelligence, ora relatedfield. * Minimum 2 years of hands-on ...

New

Showing results 41-60

Computer Science Statistics information

What is a computer science statistics?

A Computer Science Statistics job involves applying statistical methods and data analysis techniques to solve problems in computing, artificial intelligence, and software development. Professionals in this field work with large datasets, develop predictive models, and optimize algorithms for machine learning, cybersecurity, and data science applications. They may work in industries such as finance, healthcare, or technology, using statistical reasoning to enhance decision-making and efficiency. Strong programming skills, knowledge of probability theory, and experience with data visualization are typically required.

What do computer science statistics professionals do?

Professionals in Computer Science Statistics roles frequently work on projects involving data analysis, predictive modeling, and the development of algorithms to extract insights from large datasets. Their typical responsibilities include cleaning and preparing data, designing and running statistical tests, coding custom analytics solutions, and visualizing results for reports or presentations. Collaboration with teams such as data engineers, software developers, and business analysts is common to ensure that statistical models effectively address real-world business problems. This role offers opportunities to work across diverse industries, allowing for continual learning and skill development.

What skills and qualifications are needed for computer science statistics?

To excel in a Computer Science Statistics role, a strong background in both statistical analysis and computer science principles, usually backed by a degree in a related field, is essential. Expertise in programming languages like Python or R, experience with statistical software, and familiarity with databases or machine learning libraries are highly valued. Analytical thinking, attention to detail, and effective communication are key soft skills that differentiate top performers in this position. Mastery of these skills enables professionals to accurately interpret data, develop robust analytical solutions, and clearly convey complex findings to both technical and non-technical stakeholders.

Is statistics useful in computer science?

Statistics is highly useful in computer science, especially in data analysis, machine learning, and algorithm development. It provides essential tools for interpreting data, making predictions, and optimizing systems, which are core skills for many computer science roles.

What are popular job titles related to Computer Science Statistics jobs in Minnesota?

For Computer Science Statistics jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Computer Science Statistics jobs in Minnesota look for?

The top searched job categories for Computer Science Statistics jobs in Minnesota are:

What cities in Minnesota are hiring for Computer Science Statistics jobs?

Cities in Minnesota with the most Computer Science Statistics job openings:

Infographic showing various Computer Science Statistics job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, 3% Contract, and 2% Nights. Highlights an 76% Physical, 2% Hybrid, and 22% Remote job distribution.

Director Data Scientist

00001 Ameriprise Financial Inc

Minneapolis, MN โ€ข On-site

$150 - $206/hr

Other

Medical, Dental, Life, Retirement, PTO

Posted 8 days ago


Job description

About Our Company

Weโ€™re a diversified financial services leader with more than $1.5 trillion in assets under management, administration and advisement as of year-end 2024. Our team of 22,000 people across 19 countries, serves more than 3.5 million individual, small business and institutional clients. We are a longstanding leader in financial planning and advice, a global asset manager and an insurer. Our unwavering focus on our clients and strong financial foundation connects each of our unique businesses โ€“ Ameriprise Financial, Columbia Threadneedle Investments and RiverSource Insurance and Annuities. Here, we foster meaningful careers, invest in the future, and make a difference for clients, institutions and communities around the world.

Job Description

The Director of Client Analytics is a people and analytic leadership role responsible for advancing client strategy through scalable data science, AI, and advanced analytics solutions. This role leads a team of data science professionals and partners with senior business leaders to translate complex data, predictive models, and analytic insights into clear business recommendations that improve client outcomes and inform strategic decisions. This is a fast-paced role focused on highly visible, high-impact analytics initiatives that directly support business execution and senior leadership priorities.

Key Responsibilities
  • Engage collaboratively with business leaders and analysts to provide analytical thought leadership.
  • Identify and interpret business needs, define high-level requirements, strategy, scope, and technical risks, and align analytics and AI capabilities to top business priorities.
  • Deliver analytic strategy that delivers measurable business impact.
  • Develop, document, and communicate business-driven analytic solutions, translating advanced modeling, segmentation, predictive analytics, and advisor and client intelligence into clear, actionable insights that influence decision-making and execution.
  • Identify, develop, and implement complex analytical solutions leveraging predictive modeling, advanced machine learning techniques, optimization, simulation, experimentation, and personalization.
  • Contribute to ongoing expansion of data science expertise and credentials by keeping up with industry best practices, developing new skills, and knowledge sharing.
  • Work cross functionally to develop standardized/automated solutions and adopt best practices.
  • Set technical direction for complex analytical solutions, including predictive modeling, machine learning, optimization, simulation, experimentation, and personalization, with a focus on scalable and business-ready delivery.
  • Build, lead, and scale a high-performing analytics team, fostering a culture of curiosity, innovation, accountability, and continuous learning.
  • Provide coaching, performance management, hiring, development, and goal setting for team of data scientists.
  • Manage data and dataset creation, including data extraction, feature engineering, data quality controls, and validation processes.
  • Monitor the execution and performance of analytical solutions from criteria definition through delivery and results capture.
  • Ensure adherence to enterprise and industry data, model, and AI governance standards.
  • Partner with governance leaders to manage risk, compliance, and ethical use of analytics and AI capabilities across the team.
Required Qualifications
  • Masterโ€™s degree in quantitative discipline (i.e., Data Science, Statistics, Computer Science, Mathematics, Economics or a related field). 7-10 years of experience in analytic or data science role
  • Proven ability to present/communicate complex, technical materials in a way that facilitates decision making and drives outcomes; ability to communicate to less technical partners.
  • Strong knowledge of advanced statistical, machine learning, and optimization techniques, with the ability to apply the right method to the business problem
  • Experience with statistical programming (Python, SQL, etc.) & data visualization software in a data-rich environment.
  • Proven ability to apply both strategic and analytic techniques to provide business solutions and recommendations.
  • Ability to work effectively and influence in a collaborative team environment
  • Ability to manage multiple projects at one time, delegate and prioritize work
  • Proven experience with MLOps practices, CI/CD for models, and production monitoring.
Preferred Qualifications
  • Experience building solutions using LLMs, Agentic AI, RAG, and more traditional AI techniques.
  • People leadership experience
  • Experience and knowledge of Ameriprise field structure and hierarchy
  • Advisor, client, and industry knowledge
  • Experience working in financial services or other highly regulated industries.
In-Office Collaboration

We are a client-centric, relationship-based business. Working together, in-person, is foundational to how we achieve results. By fostering a culture of face-to-face collaboration, idea sharing, productivity and personal connection, we deliver for our stakeholders โ€” clients, advisors, employees and shareholders. Our employees work in the office at least four (4) days per week, with flexibility to work from home one (1) day per week. Some roles may require additional in-office time or different in-office expectations, and specific requirements will be discussed during the hiring process.

Visa Sponsorship

Applicants must have a valid work authorization that does not now, or in the future, require visa sponsorship for employment in the United States (e.g., H-1B, F-1 CPT, F-1 OPT, TN).

Base Pay Salary

The estimated base salary for this role is $150,000- $206,300/year. We have a pay-for-performance compensation philosophy. Your initial total compensation may vary based on job-related knowledge, skills, experience, and geographical work location. In addition, most of our roles are eligible for variable pay in the form of bonus, commissions, and/or long-term incentives depending on the role. We also have a competitive and comprehensive benefits program that supports all aspects of your health and well-being, including but not limited to vacation time, sick time, 401(k), and health, dental and life insurances.

Full-Time/Part-Time

Full Time/Part-Time Full time Exempt/Non-Exempt Exempt Job Family Group Data Line of Business CSIRM Information Management

Equal Opportunity Employer

Ameriprise Financial is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, ancestry, age, physical or mental disability, medical condition, pregnancy, military status, veteran status, genetic information, citizenship, disability status, marital status, family status or any other basis prohibited by law. We are committed to fostering an inclusive and accessible recruitment process for individuals with disabilities. If you require a reasonable accommodation to participate in the application or interview process, speak to your recruiter to discuss how we can support you.

Explore Opportunities

Explore opportunities within each business and region below.

Ameriprise US | Careers

Ameriprise India | Careers

Columbia Threadneedle Investments US | Careers

Columbia Threadneedle Investments EMEA APAC | Careers

RiverSource | Careers

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